To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ACME")

In most cases, you don't need to download the package archive at all.

ACME

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see ACME.

Algorithms for Calculating Microarray Enrichment (ACME)

Bioconductor version: 3.3

ACME (Algorithms for Calculating Microarray Enrichment) is a set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing "enrichment". It does not rely on a specific array technology (although the array should be a "tiling" array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Author: Sean Davis <sdavis2 at mail.nih.gov>

Maintainer: Sean Davis <sdavis2 at mail.nih.gov>

Citation (from within R, enter citation("ACME")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ACME")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ACME")

 

PDF R Script ACME
PDF   Reference Manual

Details

biocViews Microarray, Normalization, Software, Technology
Version 2.28.0
In Bioconductor since BioC 2.0 (R-2.5) (9.5 years)
License GPL (>= 2)
Depends R (>= 2.10), Biobase(>= 2.5.5), methods, BiocGenerics
Imports graphics, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://watson.nci.nih.gov/~sdavis
Depends On Me
Imports Me
Suggests Me oligo
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source ACME_2.28.0.tar.gz
Windows Binary ACME_2.28.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) ACME_2.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ACME/tree/release-3.3
Package Short Url http://bioconductor.org/packages/ACME/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: